A list of recent papers about Graph Neural Network methods applied in NLP areas.
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Updated
Oct 12, 2022
A list of recent papers about Graph Neural Network methods applied in NLP areas.
Modelling of multi-agent-system as Kripke structure and implementation of its knowledge-base with modal logic formulas.
RDFRules: Analytical Tool for Rule Mining from RDF Knowledge Graphs
Knowledge Acquisition Logic Machine
Matlab implementation of Neural Networks Results for Alarm-Warning Control System of mobile robot with five Ultrasonic sensors
CLIPS programs I have completed for Expert Systems (Rule-Based AI)
Knowledge Base System - Ready for Drupal 9 - a wiki system, and a documentation management system designed to host massive amount of content in a structured and easy-to-find format. Vardoc helps you build a connected organization, product, or knowledge area to allow everyone involved to find the answers they seek, and contribute their expertise …
This project is a simple implementation of a knowledge-based system. It is a simple ChatBot. There is a prolog file that defines the knowledge base. The questions are handled with python. The key idea is mapping different questions for the same answer. The simplest way is finding keywords in the question. Using the keywords, a query is performed…
a library to play with Haystack Project in Go
Movie recommendation made on django framework with Mysql as database
Implementation of knowledge base (KB) abilities for agents developed in SPADE (Smart Python Agent Development Environment). The finalised product should enable agents to cope with personal and global knowledge bases explicated using logical statements in various languages, or RDF/OWL files.
This is an open source project for building Rule/Policy Inference Engine written in Java
Repository containing all code and data required to reproduce the experiments of 'A decision support system to follow up and diagnose chronic primary headache patients using semantically enriched data'
Project template for Vardoc distribution
Collection of implementations of Knowledge Embedding Models. Originally forked from https://github.com/thunlp/OpenKE.
Knowledge based system museum tour planner developed during Artifical Intelligence subject.
A knowledge graph Inconsistency locator that can sample knowledge graphs even with respect to inconsistencies.
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